A Secure Remote Healthcare System for Hospital Using Blockchain Smart Contract

2018 ◽  
Author(s):  
Hoai Luan Pham ◽  
Thi Hong Tran ◽  
Yasuhiko Nakashima
Keyword(s):  
Healthcare System ◽  
Smart Contract ◽  
Remote Healthcare

Development of an Ease-of-Use Remote Healthcare System Architecture Using RFID and Networking Technologies

2012 ◽  
Vol 36 (6) ◽  
pp. 3605-3619 ◽  
Author(s):  
Shih-Sung Lin ◽  
Min-Hsiung Hung ◽  
Chang-Lung Tsai ◽  
Li-Ping Chou
Keyword(s):  
Healthcare System ◽  
System Architecture ◽  
Ease Of Use ◽  
Remote Healthcare ◽  
Networking Technologies

scholarly journals Wired and Wireless Distributed e-Home Healthcare System

2016 ◽  
pp. 207-250
Author(s):  
Booma Devi Sekar ◽  
JiaLi Ma ◽  
MingChui Dong
Keyword(s):  
Healthcare System ◽  
Point Of Care ◽  
Access Point ◽  
Data Access ◽  
Medical Personnel ◽  
Home Healthcare ◽  
Information Communication ◽  
Healthcare Data ◽  
Remote Healthcare ◽  
Healthcare Monitoring

The proactive development in electronic health (e-health) has introduced seemingly endless number of applications such as telemedicine, electronic records, healthcare score cards, healthcare monitoring etc. Yet, these applications confront the key challenges of network dependence and medical personnel necessity, which hinders the development of universality of e-health services. To mitigate such key challenges, this chapter presents a versatile wired and wireless distributed e-home healthcare system. By exploiting the benefit of body sensor network and information communication technology, the dedicated system model methodically integrates some of the comprehensive functions such as pervasive health monitoring, remote healthcare data access, point-of-care signal interpretation and diagnosis, disease-driven uplink update and synchronization (UUS) scheme and emergency management to design a complete and independent e-home healthcare system.

Centralized Fog Computing Security Platform for IoT and Cloud in Healthcare System

2018 ◽  
pp. 141-154 ◽  
Author(s):  
Chandu Thota ◽  
Revathi Sundarasekar ◽  
Gunasekaran Manogaran ◽  
Varatharajan R ◽  
Priyan M. K.
Keyword(s):  
Healthcare System ◽  
Data Transfer ◽  
Fog Computing ◽  
Asynchronous Communication ◽  
Security And Privacy ◽  
Sensor Data ◽  
Cloud Environment ◽  
Authentication And Authorization ◽  
Remote Healthcare ◽  
Secure Authentication

This chapter proposes an efficient centralized secure architecture for end to end integration of IoT based healthcare system deployed in Cloud environment. The proposed platform uses Fog Computing environment to run the framework. In this chapter, health data is collected from sensors and collected sensor data are securely sent to the near edge devices. Finally, devices transfer the data to the cloud for seamless access by healthcare professionals. Security and privacy for patients' medical data are crucial for the acceptance and ubiquitous use of IoT in healthcare. The main focus of this work is to secure Authentication and Authorization of all the devices, Identifying and Tracking the devices deployed in the system, Locating and tracking of mobile devices, new things deployment and connection to existing system, Communication among the devices and data transfer between remote healthcare systems. The proposed system uses asynchronous communication between the applications and data servers deployed in the cloud environment.

scholarly journals S&D Pattern Deployment at Organizational Level: A Prototype for Remote Healthcare System

2009 ◽  
Vol 244 ◽  
pp. 27-39 ◽  
Author(s):  
Pierre Busnel ◽  
Paul El Khoury ◽  
Keqin Li ◽  
Ayda Saidane ◽  
Nicola Zannone
Keyword(s):  
Healthcare System ◽  
Organizational Level ◽  
Remote Healthcare

scholarly journals Health Monitoring using Edge Cognitive Computing Based Smart Health Care

2019 ◽  
Vol 9 (1) ◽  
pp. 5356-5361
Keyword(s):  
Healthcare System ◽  
Healthcare Services ◽  
Current Status ◽  
Cognitive Computing ◽  
Smart Healthcare ◽  
The People ◽  
Remote Healthcare ◽  
Health Progress ◽  
Remote Viewing

With an enhancement in technology and development of sensors, they have decided to concern the latest technology in particular areas to increases the Quality of their life. One of the important section of research that has seen an agreement of the latest technology is the healthcare. the people who need healthcare services they have to suffer for long process, to reduce the problem As a result, basically this complete technology would try to resole the healthcare issues. The main goal of the project is to develop a remote healthcare system. It have three main parts. The first and most important section in this process is to detecting the patient current health status using this sensors. second important thing is sending data to cloud storage and the last section is to get the detected data for remote viewing. Remote viewing of the data provided to the doctor will able to monitor a patients health progress aboard from hospital places. The Edge-Cognitive- Computing-based (ECC-based) smart healthcare system. This technology is able to check also distinguish and detect the current status of patient using this sensors. It also accommodate the computing resource appropriation of the complete edge computing network expansive to the health different percentage of each user. The experiments show that the ECC-based healthcare system provide a exceed user background and try to improvement the computing resources moderately, as well as consequentially improving in the durability rates of patients in emergency

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